This chapter examines the transformative role of Artificial Intelligence (AI) across the entire mineral lifecycle, from exploration and extraction to processing, manufacturing, and environmental stewardship. AI enhances subsurface prediction, optimizes borehole placement, and enables real-time classification and beneficiation strategies to improve efficiency and reduce environmental impact. In the downstream value chain, AI supports intelligent supply chain management, risk assessment, and ecological monitoring. A central focus is the emerging synergy between AI, critical minerals, and Additive Manufacturing (AM), where AI-driven optimization enables defect-free, simulation-informed, and generatively designed 3D-printed components using critical mineral-based feedstocks. This convergence accelerates material innovation, promotes circularity, and fosters localized, sustainable production. The chapter introduces key AI concepts, data models, and practical tools relevant to geoscience and manufacturing domains. By bridging disciplines, it offers a forward-looking perspective on how AI-powered workflows are reshaping resource use, enabling smarter decision-making, and redefining the technological applications of critical minerals in a sustainable future.